This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models.
How Google does Machine Learning
How Google does Machine Learning
This course is part of multiple programs.
Instructor: Google Cloud Training
Sponsored by EmployNV
132,876 already enrolled
Gain insight into a topic and learn the fundamentals.
4.6
(7,274 reviews)
Beginner level
No prior experience required
Flexible schedule
Approx. 11 hours
Learn at your own pace
92%
Most learners liked this course
What you'll learn
Describe Vertex AI Platform and how it's used to quickly build, train, and deploy AutoML machine learning models without writing any code
Describe best practices for implementing machine learning on Google Cloud
Leverage Google Cloud tools and environment to do ML
Articulate Responsible AI best practices
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
6 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 8 modules in this course
This module introduces the course series and the Google experts who will be teaching it.
What's included
2 videos
In this module, you explore building a data strategy around machine learning.
What's included
7 videos2 readings1 assignment
This module shares the organizational know-how Google has acquired over the years.
What's included
7 videos1 reading1 assignment
All machine learning starts with some type of goal - whether it be a business use case, academic use case, or goal you are trying to solve. This module reviews the process of determining whether the model is ready for production the “proof of concept” or “experimentation” phase.
What's included
9 videos1 reading1 assignment2 app items
This module explores both managed notebooks and user-managed notebooks for machine learning development in Vertex AI.
What's included
2 videos1 reading1 assignment
This module reviews best practices for a number of different machine learning processes in Vertex AI.
What's included
4 videos1 assignment
This module discusses why machine learning systems aren’t fair by default and some of the things you have to keep in mind as you infuse ML into your products.
What's included
7 videos1 reading1 assignment
This module is a summary of the How Google Does Machine Learning course.
What's included
4 readings
Instructor
Instructor ratings
4.6 (929 ratings)Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
4.6
7,274 reviews
- 5 stars
68.95%
- 4 stars
23.69%
- 3 stars
5.26%
- 2 stars
1.15%
- 1 star
0.93%
Showing 3 of 7274
ZJ
5
Reviewed on Nov 1, 2018
Interesting and engaging content of ML. The course is structured well and emphasizes important aspects of ML which tend to be overlooked by many. Just hope some exercises could be further refined.
SK
5
Reviewed on Jan 10, 2020
The course was fantastic, people might complain about the "labs" being easy but there was a lot to explore and learn and get the right feel to being the journey of GCP, THANK YOU SO MUCH!
PB
5
Reviewed on Mar 20, 2019
Really easy with all instruction.I didnt feel bored at any point gave me the basic idea of what is machine learning and how easy google made API's and cloud platform for machine learningThank you
Recommended if you're interested in Data Science
Google Cloud
Google Cloud
Google Cloud
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy